DeepSeek vs Qwen vs GLM (2026): Which Chinese LLM API Should You Use?

Last updated: 2026-08-31. Vendor list prices change often — verify on official pricing pages before committing.

DeepSeek, Qwen (Alibaba), and GLM (Zhipu) are the three Chinese model families international developers reach for most. Each has a distinct personality, and picking wrong means either paying flagship money for everyday work or throttling hard tasks on a budget model. This guide compares them on positioning, pricing, tooling, and fit — factually, without vendor cheerleading.

Positioning at a glance

Family	Maker	Personality	Best known for
DeepSeek	DeepSeek (open weights)	All-rounder, reasoning per dollar	V4 Flash / V4 Pro; coding, reasoning, agents
Qwen	Alibaba	Broad generalist, huge family	Qwen3.x / Qwen Max; multimodal (vision/audio/video), many sizes
GLM	Zhipu AI	Strong all-rounder, agentic	GLM-4.x/5.x line; coding, long context, tool use

DeepSeek: the value reasoning workhorse

• Strengths: strong reasoning and coding relative to price; open weights → broad ecosystem support (local runtimes, tools, aggregators); consistent OpenAI-compatible API; 1M-token context on V4 models.
• Trade-offs: official direct billing needs a Chinese phone number + CNY payment (friction for international users); peak/off-peak pricing (peak = 01:00–04:00 & 06:00–10:00 UTC, Mon–Fri; off-peak = half price) means your bill depends on when you call; some flagship-tier tasks (hard math proofs, ultra-long agent chains) still benefit from GPT/Claude-class models.

2026 price reference (captured 2026-08-31, official docs): V4 Flash input $0.22 off-peak / $0.44 peak (cache miss), output $0.66 / $1.32; V4 Pro input $0.66 / $1.32, output $1.98 / $3.96. Via aggregators, a DeepSeek-powered flash tier is available from ~$0.35/M output (AI24X, captured 2026-08-05). See DeepSeek API pricing (2026) for the full peak/off-peak breakdown.

Qwen: the multimodal generalist

• Strengths: the widest model family — text, vision, audio, video, and many parameter sizes (from small local-friendly models to Qwen Max); strong multilingual support (English docs are first-class); aggressive per-token pricing at the small end; huge ecosystem across Alibaba Cloud Model Studio and open weights.
• Trade-offs: for pure coding/reasoning, many teams rank DeepSeek-class models higher per dollar; the sheer number of model versions can be confusing to pick from; some high-end models are priced per-region and per-size, so "Qwen pricing" isn't one number.

2026 price reference: Alibaba lists current rates at https://www.alibabacloud.com/modelstudio (region- and model-dependent). On third-party price hubs (SiliconFlow pricing page, captured 2026-08-31), Qwen entry models list around ¥0.4–1.8 input / ¥3.2–10.8 output per 1M — treat these as indicative, check the vendor page.

GLM: the agentic all-rounder

• Strengths: Zhipu's GLM line is known for strong tool calling and agentic workflows; competitive coding performance; solid Chinese + English; good long-context support; open-weights releases mean broad deployment options.
• Trade-offs: smaller ecosystem mindshare internationally than Qwen (and a smaller community than DeepSeek's open-weights fanbase); pricing varies by version and access path; for pure cost-per-token on simple chat, Flash-class DeepSeek tiers often undercut it.

2026 price reference: Zhipu's official pricing is at https://open.bigmodel.cn (Chinese platform) — international access typically goes through aggregators. On DeepInfra-style hosts, GLM-family models sit in a similar band to other open-weight Chinese models; check the specific model page.

Head-to-head: which do you actually need?

Your workload	First pick	Why
Coding assistant / agents / everyday chat	DeepSeek-class flash tier	Best reasoning per dollar; aggregator flash (~$0.35/M out) covers 90% of it
Multimodal (vision/audio/video) + general	Qwen	Breadth of modalities and model sizes out of the box
Agentic tool use, structured workflows	GLM	Strong tool-calling focus; competitive on agent loops
Long docs, big codebases, heavy RAG	DeepSeek 1M-context / long-context Qwen	Context length is the point; both deliver
Hardest reasoning / high-stakes writing	GPT-5.x / Claude / Gemini	Escalate only when needed

Tooling & ecosystem

• SDKs & clients: all three speak OpenAI-compatible formats, so existing SDKs (OpenAI Python/TS, LangChain, LlamaIndex, Vercel AI SDK) work with a base-URL swap. This is where aggregators shine — one endpoint serves all three families.
• Open weights: DeepSeek and Qwen both publish open-weight versions; GLM has open-weight releases too. If you want local or self-hosted options, all three have you covered; Qwen offers the widest size ladder.
• Agents: GLM and DeepSeek both emphasize agentic/tool-use performance; Qwen's newer models add native multimodal agent capabilities.
• Docs: all three ship English documentation; Qwen's is the most extensive across modalities.

The practical 2026 setup: one key for all three

You don't need three accounts, three SDKs, and three balances. An OpenAI-compatible gateway gives you:

• One endpoint — POST /v1/chat/completions, Authorization: Bearer <key>
• All three families on one key — DeepSeek, Qwen, GLM (+ Kimi, MiniMax, and international flagships)
• Smart routing — the gateway picks the best upstream channel per request (price · speed · stability), with automatic failover
• One payment rail — PayPal or card; no Chinese phone number required (unlike direct vendor signups)

Quick start with an OpenAI-compatible client:

curl -X POST "https://api.ai24x.com/v1/chat/completions" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-..." \
  -d '{"model":"flash","messages":[{"role":"user","content":"Compare DeepSeek vs Qwen for a RAG summarization service."}],"stream":false}'

Named-model calls look the same — just change the model string (e.g., vip-qwen, vip-glm).

FAQ

Which is cheapest?

Depends on the exact model and date. At the 2026-08 captures: DeepSeek official off-peak is a very low floor but needs a Chinese phone + CNY; a DeepSeek-powered flash tier through an aggregator is ~$0.35/M output (AI24X, 2026-08-05); Qwen small models are cheap per-token; GLM sits in the same general band. The reliable strategy: let smart routing pick instead of hand-tracking five price lists.

Can I use GLM for coding?

Yes — GLM is a strong coder and its tool-calling focus suits agentic coding. For pure reasoning-per-dollar, DeepSeek-class models are usually the default; try both and measure on your own benchmark.

Do I lose anything using one gateway key?

You trade per-vendor dashboards for one console. If you need a specific named model, gateways like AI24X let you pin it. For data-sensitive workloads, review the gateway's ToS first.

Are these models good in English?

Yes — all three train heavily on multilingual data and ship English docs. Qwen has the largest ecosystem; DeepSeek and GLM are both strong in English-language production use.

Bottom line

DeepSeek for reasoning per dollar, Qwen for multimodal breadth, GLM for agentic tool use — and the cheapest, most maintainable way to run all three is one OpenAI-compatible key with smart routing. Verify current vendor prices, then let the router handle the churn.

Docs & integrations: https://www.ai24x.com/docs.html · Pricing: https://www.ai24x.com/pricing.html · Register: https://www.ai24x.com

Educational/informational article by AI24X, an independent AI gateway (not affiliated with DeepSeek, Alibaba, or Zhipu). Prices are as captured on the dates noted and may change; always check official pricing pages. Not investment advice.

Related: DeepSeek API pricing (2026) · One API for multiple AI models · OpenAI-compatible API · AI API cost basics